Insight
Choose a generative AI consulting company by inspecting scope, access boundaries, evaluations, handover, and stop conditions.
Choose a generative AI consulting company by inspecting what it will leave behind, not by accepting a broad list of capabilities. Ask for a named workflow, an access-boundary map, an evaluation sheet, a handover pack, and written stop conditions. Each artifact should identify the responsible person and the evidence the buyer can review. Compare candidates against the same brief. A service page can show what a vendor says it offers, but the proposal must state what your engagement includes. This is a buyer-side checklist for boutique professional-services operators. It does not rank providers, assess delivery quality, or claim that Jungle Roots tested the companies cited below.
A generative AI consulting company may advise on use cases and technology, design a pilot, implement a system, integrate it with existing work, or support it after launch. The exact scope belongs in the proposal.
Use this four-part scope check to state who owns each phase and when that ownership ends:
| Scope | Responsible party | Deliverable or recurring duty | Evidence the buyer receives | Responsibility changes hands |
|---|---|---|---|---|
| Advice | The consulting lead | A written recommendation for the named workflow | The brief, assumptions, and decision record | When the buyer accepts or rejects the recommendation before implementation |
| Implementation | The delivery lead | The agreed build, integration, and evaluation record | The configured artifacts, access record, and saved evaluation evidence | When the buyer accepts the defined implementation output or managed operation starts |
| Managed operation | The operator named in the proposal | Recurring execution, review, access maintenance, and issue recording for the named workflow | Run records, evaluation results, and a record of changes and issues | At the explicit transfer stated in the operating period; until then, the named operator remains responsible |
| Handover | The consulting lead until the buyer's named owner accepts the transfer | The agreed inventory, access record, and walkthrough | The completed inventory and confirmation that the buyer can retrieve and review it | When the buyer's named owner confirms acceptance |
Managed operation is not implementation, occasional post-launch support, or handover. It is a separately assigned recurring duty with its own evidence and transfer point.
The captured LeewayHertz page describes use-case identification, technology assessment, data engineering, custom model work, solution development, integration, and maintenance as its service offer (LeewayHertz). The captured Hackett Group page describes strategy, readiness assessment, use-case prioritization, technology selection, solution design, prototyping, integration, and AI centers of excellence (The Hackett Group). The captured N-iX page presents workshops, prototyping, solution design, implementation, training, and ongoing optimization as stages in its offer (N-iX).
Those pages establish what each vendor publishes about its own services. They do not establish the team assigned to your work, the data it may access, the evaluation rules, the handover contents, or the condition for stopping. Ask the proposal to supply those engagement-level facts.
For a boutique firm, start with one workflow that has a named owner and a reviewable output. “Adopt generative AI” is a direction, not a scope. “Prepare a first draft of a defined internal document from approved source material for review by a named person” gives the buyer objects to inspect without assuming that the system is ready to build.
Require a small set of decision artifacts before approving implementation. Keep them together in an AI governance framework that names the operating record and its owner. The artifacts below are Jungle Roots editorial buying guidance, not an industry standard.
| Inspect | Ask to receive | Pass condition | Reason to pause |
|---|---|---|---|
| Scope | A workflow brief naming inputs, output, owner, and exclusions | The buyer can point to what is in and out | The scope is a department-wide aspiration |
| Access | A boundary map for data, systems, accounts, and people | Each access request has a purpose and owner | Access is described as whatever the team needs |
| Evaluation | A sheet with test material, acceptance rule, reviewer, and evidence | Another reviewer can follow the rule | Success means that the result feels useful |
| Handover | An inventory of files, prompts, settings, records, and responsibilities | The buyer can identify what it receives and controls | Handover appears only as support language |
| Stop conditions | Written conditions for stop, revise, or continue | The decision returns to a named owner | The engagement continues by default |
Ask every shortlisted company to fill the same structure. This keeps the comparison attached to your workflow. It also exposes a basic mismatch early: a vendor may offer a relevant capability while proposing an engagement that leaves the buyer unable to inspect or operate the result.
The artifacts should agree with one another. The evaluation must test the output named in the scope. The access map must cover only the inputs that scope permits. The handover must contain the records needed to apply the evaluation again. The stop conditions must refer to evidence the engagement actually captures.
Make access a written boundary, not a verbal assurance. The buyer should be able to see what the consulting team may use, who grants access, and what remains excluded.
Ask the candidate to record:
This list does not prescribe a security or legal control. It gives the commercial owner a way to spot an undefined request before granting it. If a candidate cannot explain why a requested account or source is needed for the named output, return the question to the scope.
Access to the delivery team matters too. Ask which roles will do the work, which of them the buyer can question, and who can change the scope. A company name and a capability page do not answer those questions. The proposal should.
The evaluation sheet should say what will be reviewed, by whom, against which rule, and with which saved evidence. Avoid a success statement that cannot be replayed after the presentation.
The Hackett Group says its technology selection considers performance, response speed, cost efficiency, and customization capabilities, and that its prototyping work defines requirements and maps workflows (The Hackett Group). N-iX describes before-and-after metrics and documented results as part of its published method (N-iX). Treat these as vendor descriptions. In your proposal, require the candidate to translate any such approach into the exact evaluation record for your workflow.
A reviewable sheet answers these questions:
Do not let a product demonstration replace this sheet. The demonstration shows an output under its displayed conditions. The evaluation sheet states how the buyer will judge the commissioned work.
Get the operations audit if you want to turn one visibility or acquisition workflow into an owned brief with inspectable evidence.
Handover should name the materials and operating responsibilities the buyer receives. “Documentation included” is too vague to compare.
Request an inventory that covers the workflow brief, approved source list, prompts or instructions, evaluation sheet, saved test results, relevant settings, access record, open issues, and named owner after delivery. Include only items that belong to the agreed engagement. The point is to make the transfer inspectable, not to demand a large binder.
Ask the candidate to walk through the inventory before signing. For each item, ask where it will live, who can retrieve it, and who may change it. Then ask the person expected to own the workflow after handover to confirm that the package answers the questions they will face.
The captured N-iX page includes team training in its implementation stage (N-iX). That is a published service description, not proof of what another proposal includes. If training matters to your handover, name the audience, material, and expected output in the proposal rather than relying on the word “training.”
A stop condition returns the decision to the buyer when the agreed evidence does not support the current scope. Write it before implementation so continuation is not the unexamined default.
Candidate stop conditions include:
These are editorial options. Select only the conditions that match the engagement and define what happens next. A stop may lead to a revised brief, a new approval, or the end of the work. The proposal should name that decision path without promising an outcome.
Also record who can invoke each condition and which evidence they must cite. Otherwise, the phrase “we can stop” leaves the operating decision undefined.
None of the three cited vendor pages provides comparable pricing, so this article cannot support a market-rate claim. Compare quotes only after every candidate prices the same scope. A number attached to different work is not a useful comparison.
Normalize the request before reviewing commercial terms:
The captured vendor pages show why scope must come first. LeewayHertz publishes services that extend from use-case evaluation through integration and maintenance (LeewayHertz). The Hackett Group publishes strategy and readiness services alongside prototyping and integration (The Hackett Group). N-iX publishes workshop, prototype, design, implementation, and optimization stages (N-iX). Those are different service descriptions. Your quote must identify the portion being purchased.
Do not manufacture a benchmark from the absence of comparable terms. Record the quoted scope, artifacts, responsibilities, and exclusions beside the commercial figure supplied by each candidate.
Choose a proposal that lets your team inspect, govern, and stop the work. The vendor still needs the relevant capability, but capability language alone does not define your engagement.
Use the final interview to test the proposal:
This approach does not identify a universal best generative AI consulting company. It identifies which proposal fits one buyer’s written scope and evidence requirements. Keep the decision narrow enough to defend.
Get the operations audit to define a visibility or acquisition workflow, the evidence around it, and the owner who decides what happens next.
Written by Loïc Guyon (Tileo), an international operator who builds AI-native ventures in public.
